LAMPIRAN 1
–
TABULASI DATA
LAMPIRAN2 - HASIL UJI SPSS
ANALISA DATA PENELITIAN
Reliability
Notes
Output Created 07-APR-2018 11:41:26
Comments
Input Data D:\Kuliah\SKRIPSHIT\data kues.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 101
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on all cases with
valid data for all variables in the
procedure.
Syntax RELIABILITY
/VARIABLES=KI1 KI2 KI3 KI4 KI5
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE SCALE
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.00
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 101 100.0
Excludeda 0 .0
Total 101 100.0
a. Listwise deletion based on all variables in the
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-SISTEM INFORMASI AKUNTANSI (X
1)
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 101 100.0
Excludeda 0 .0
Total 101 100.0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
Item Statistics
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-KESESUAIAN TUGAS
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 101 100.0
Excludeda 0 .0
Total 101 100.0
a. Listwise deletion based on all variables in the
procedure.
Item Deleted
Scale Variance
if Item Deleted
Item-Scale Statistics
Mean Variance Std. Deviation N of Items
20.84 22.695 4.764 6
NPar Tests
NPar Tests
Notes
Output Created 07-APR-2018 12:45:07
Comments
Input Data D:\Kuliah\SKRIPSHIT\data kues.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 101
Missing Value Handling Definition of Missing User-defined missing values are
Cases Used Statistics for each test are based on all
cases with valid data for the variable(s)
used in that test.
Syntax NPAR TESTS
/K-S(NORMAL)=ZRE_1
/MISSING ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Number of Cases Alloweda 196608
a. Based on availability of workspace memory.
One-Sample Kolmogorov-Smirnov Test
Standardized
Residual
N 101
Normal Parametersa,b Mean .0000000
Std. Deviation .98994949
Most Extreme Differences Absolute .068
Positive .068
Negative -.057
Test Statistic .068
Asymp. Sig. (2-tailed) .200c,d
a. Test distribution is Normal.
b. Calculated from data.
d. This is a lower bound of the true significance.
UJI MULTIKOLINEARITAS
Nb : Uji multikolinearitas = Tolerance > 0,1 & VIF < 10 Tidak terjadi multikolinearitas di semua variabel
UJI HETEROKEDASTITAS
Coefficientsa
Model
Unstandardized Coefficients
Standardized
a. Dependent Variable: abs_resi
Nb : sig > 5 % tidak terjadi heterokedastitas
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) .085 .180 .472 .638
X1 1.278 .472 .138 2.711 .008 .990 1.010
X2 .780 .066 .751 11.785 .000 .634 1.577
X3 .158 .061 .165 2.595 .011 .635 1.576
UJI HIPOTESIS
Regression
Regression
Notes
Output Created 07-APR-2018 12:55:15
Comments
Input Data D:\Kuliah\SKRIPSHIT\data kues.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 101
Missing Value Handling Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on cases with no
missing values for any variable used.
Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R
ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X1 X2 X3.
Resources Processor Time 00:00:00.06
Elapsed Time 00:00:00.13
Memory Required 2932 bytes
Additional Memory Required
Variables Entered/Removeda
Model
Variables
Entered
Variables
Removed Method
1 X3, X1, X2b . Enter
a. Dependent Variable: Y
b. All requested variables entered.
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .866a .750 .743 .46048
a. Predictors: (Constant), X3, X1, X2
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 61.860 3 20.620 97.244 .000b
Residual 20.568 97 .212
Total 82.428 100
a. Dependent Variable: Y
b. Predictors: (Constant), X3, X1, X2
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Frequency Table
Jenis_Kelamin
Frequency Percent Valid Percent
Cumulative
Frequency Percent Valid Percent
Cumulative
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1-5 TAHUN 40 80.0 80.0 80.0
6-10 TAHUN 10 20.0 20.0 100.0
